DBMS > Atos Standard Common Repository vs. Hyprcubd vs. Interbase vs. Kyligence Enterprise vs. PostGIS

System Properties Comparison Atos Standard Common Repository vs. Hyprcubd vs. Interbase vs. Kyligence Enterprise vs. PostGIS

Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

Serverless Time Series DBMS

Light-weight proven RDBMS

originally from Borland

A distributed analytics engine for big data, built on top of Apache Kylin

Spatial extension of PostgreSQL

Primary database model

Document store
Key-value store

Time Series DBMS

Relational DBMS

Spatial DBMS

Secondary database models

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	4.08
Rank	#75	Overall
	#41	Relational DBMS

Score	0.46
Rank	#266	Overall
	#124	Relational DBMS

Score	21.72
Rank	#29	Overall
	#1	Spatial DBMS

Website

atos.net/en/convergence-creators/portfolio/standard-common-repository

hyprcubd.com (offline)

www.embarcadero.com/products/interbase

kyligence.io/kyligence-enterprise

postgis.net

Technical documentation

docs.embarcadero.com/products/interbase

postgis.net/documentation

Developer

Atos Convergence Creators

Hyprcubd, Inc.

Embarcadero

Kyligence, Inc.

Initial release

2016

1984

2016

2005

Current release

1703

InterBase 2020, December 2019

3.4.2, February 2024

License

Commercial or Open Source

commercial

Open Source

GPL v2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

Linux

hosted

Android
iOS
Linux
OS X
Windows

Linux

Data scheme

Schema and schema-less with LDAP views

yes

Typing

predefined data types such as float or date

optional

yes

time, int, uint, float, string

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

export as XML data possible

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

ANSI SQL for queries (using Apache Calcite)

yes

APIs and other access methods

LDAP

gRPC (https)

ADO.NET
JDBC
ODBC

JDBC
ODBC
RESTful HTTP API

Supported programming languages

All languages with LDAP bindings

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

Server-side scripts

Stored procedures

yes

Interbase procedure and trigger language

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Interbase Change Views

yes

based on PostgreSQL

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic execution of specific operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Multiversion concurreny control

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

LDAP bind authentication

token access

fine grained access rights according to SQL-standard

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

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6 April 2021, Matthias Gelbmann

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